Purpose

The purpose of this analysis is to assess significant differences in GSVA scores for each hallmark pathways. Using ANOVA and subsequent Tukey tests, we ask:

  • For each pathway, are GSVA scores significantly different across tumor_descriptor? If so, which timepoints are significantly different?

We perform this using both GSVA scores calculated from RNA-seq libraries. Code is also flexible enough to test a different variable besides tumor_descriptor, etc.

Plots are inspired from here: https://yulab-smu.top/biomedical-knowledge-mining-book/enrichplot.html

Usage

To run this from the command line, use:

Rscript -e "rmarkdown::render('01-model-gsea-transcriptomic-pairs.Rmd', clean = TRUE)" 

This assumes you are in the top directory of the repository.

Setup

Load libraries and define certain constants:

suppressPackageStartupMessages({
  library(tidyverse)
  library(broom)
  library(ggpubr)
  library(ggrepel)
  
  #if (!require("BiocManager", quietly = TRUE))
  #  install.packages("BiocManager")

  #BiocManager::install("ComplexHeatmap")

  library(ComplexHeatmap)

})

Directories and File Inputs/Outputs

# Detect the ".git" folder. This will be in the project root directory.
# Use this as the root directory to ensure proper sourcing of functions
# no matter where this is called from.
root_dir <- rprojroot::find_root(rprojroot::has_dir(".git"))
analysis_dir <- file.path(root_dir, "analyses", "gene-set-enrichment-analysis") 
input_dir <- file.path(analysis_dir, "input")
files_dir <- file.path(root_dir, "analyses", "sample-distribution-analysis", "results")

# Input files
## Metadata file (histologies/clinical data)
metadata_file <- file.path(files_dir, "pbta.tsv") # file from add-sample-distribution module
matched_transcriptomic_file <- file.path(files_dir, "transcriptomic_assays_matched_time_points.tsv") # file from add-sample-distribution module

## GSEA scores
scores_file <- file.path(input_dir, "gsva_scores.tsv")

# File path to plots directory
plots_dir <-
  file.path(analysis_dir, "plots", "paired-transcriptomic")
if (!dir.exists(plots_dir)) {
  dir.create(plots_dir)
}

barplots_dir <-
  file.path(plots_dir, "barplots")
if (!dir.exists(barplots_dir)) {
  dir.create(barplots_dir)
}

dotplots_dir <-
  file.path(plots_dir, "dotplots")
if (!dir.exists(dotplots_dir)) {
  dir.create(dotplots_dir)
}

diverging_barplots_dir <-
  file.path(plots_dir, "diverging_barplots")
if (!dir.exists(diverging_barplots_dir)) {
  dir.create(diverging_barplots_dir)
}


# File path to results directory
results_dir <-
  file.path(analysis_dir, "results", "paired-transcriptomic")
if (!dir.exists(results_dir)) {
  dir.create(results_dir)
}


# Significance testing universal threshold
SIGNIFICANCE_THRESHOLD <- 0.01

# This script contains functions used to modeling GSVA scores
source(paste0(analysis_dir, "/util/hallmark_models.R"))
source(paste0(analysis_dir, "/util/function-create-plots.R"))
source(paste0(root_dir, "/figures/scripts/theme.R"))

Read in data and process

######## Load input files
pbta <- readr::read_tsv(metadata_file, guess_max = 100000) %>% 
  filter(experimental_strategy == "RNA-Seq") %>% 
  filter(!is.na(RNA_library))
Rows: 4542 Columns: 62── Column specification ──────────────────────────────────────────────────────────────────────────────────────────────────────────────
Delimiter: "\t"
chr (38): Kids_First_Participant_ID, cg_multiple, cg_id, Kids_First_Biospecimen_ID, sample_id, aliquot_id, experimental_strategy, ...
dbl (10): age_at_diagnosis_days, OS_days, EFS_days, age_last_update_days, normal_fraction, tumor_fraction, tumor_ploidy, age_at_ev...
lgl (14): gtex_group, gtex_subgroup, cell_line_composition, cell_line_passage, tumor_fraction_RFpurify_ABSOLUTE, tumor_fraction_RF...
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
# Read in matched_transcriptomic_file and get the list of patients 
# with matched time points for the transcriptomic assays
patient_list <- readr::read_tsv(matched_transcriptomic_file, guess_max = 100000, show_col_types = FALSE) %>%
  subset(select = c("Kids_First_Participant_ID", "descriptors"))

#patient_list <- readr::read_tsv(matched_transcriptomic_file, guess_max = 100000, show_col_types = FALSE) %>%
#  subset(select = c("Kids_First_Participant_ID", "descriptors"))

# How many patients with paired assays?
print(length(unique(patient_list$Kids_First_Participant_ID)))
[1] 122
# Add metadata from pbta to patient list
metadata <- patient_list %>% 
  left_join(pbta, by = "Kids_First_Participant_ID")
Warning: Detected an unexpected many-to-many relationship between `x` and `y`.
print(table(metadata$RNA_library))

  exome_capture          poly-A poly-A stranded        stranded 
              2              11             166             219 
# Read scores file
scores_file <- readr::read_tsv(scores_file) 
Rows: 193700 Columns: 4── Column specification ──────────────────────────────────────────────────────────────────────────────────────────────────────────────
Delimiter: "\t"
chr (3): Kids_First_Biospecimen_ID, hallmark_name, data_type
dbl (1): gsea_score
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
# Vector to order timepoints
timepoints <- c("Diagnosis", "Progressive", "Recurrence", "Deceased", "Second Malignancy", "Unavailable")

### Merge histology metadata with each set of gsea scores
metadata_with_gsva <- metadata %>%
  inner_join(scores_file, by = "Kids_First_Biospecimen_ID", relationship = "many-to-many") %>% 
  mutate(data_type = case_when(grepl("exome_capture|poly-A|poly-A stranded", RNA_library) ~ "merged", 
                                     TRUE ~ RNA_library),
         # Create `cg` column to account for samples with the most biospecimens and transcripts data in there
         # We will use the `cg_id` column that already accounts for cases with multiple diagnoses
         # and indicates the diagnosis at the first diagnostic specimen
         cg = case_when(grepl("High-grade glioma", cg_id) ~ "HGG", 
                            grepl("Diffuse midline glioma", cg_id) ~ "DMG",
                            grepl("Atypical Teratoid Rhabdoid Tumor", cg_id) ~ "ATRT",
                            grepl("Low-grade glioma", cg_id) ~ "LGG",
                            grepl("Ependymoma", cg_id) ~ "Ependymoma",
                            grepl("Medulloblastoma", cg_id) ~ "Medulloblastoma",
                            TRUE ~ "Other"),
        # bs_rna_library_id = paste(Kids_First_Biospecimen_ID, RNA_library_sum, sep = "_"),
         tumor_descriptor = factor(tumor_descriptor),
         tumor_descriptor = fct_relevel(tumor_descriptor, timepoints)) %>% 
  filter(!cg == "Other") %>% 
  arrange(tumor_descriptor)

# How many patients with paired assays?
print(length(unique(metadata_with_gsva$Kids_First_Participant_ID)))
[1] 86
# How many patients with paired assays per cancer type?
cg_unique <- metadata_with_gsva %>% 
  group_by(Kids_First_Participant_ID, cg) %>%
  select(Kids_First_Participant_ID, cg) %>% 
  distinct(Kids_First_Participant_ID, .keep_all = TRUE)

print(table(cg_unique$cg))

           ATRT             DMG      Ependymoma             HGG             LGG Medulloblastoma 
              8              10              19              14              23              12 
# How many biospecimens per `RNA_library`?
bs_unique <- metadata_with_gsva %>%
  group_by(Kids_First_Biospecimen_ID, data_type) %>%
  select(Kids_First_Biospecimen_ID, data_type) %>% 
  distinct(Kids_First_Biospecimen_ID, .keep_all = TRUE)

print(table(bs_unique$data_type))

  merged stranded 
      91      118 
print(table(metadata_with_gsva$data_type))

  merged stranded 
    6150     7400 

ANOVA and Tukey analysis of GSVA scores

Here we perform a series of ANOVAs, for polyA and stranded libraries separately, to determine whether mean GSVA scores for a given grouping are significantly different across hallmarks (pathways). The given groupings examined here are cancer_group and tumor_descriptor. In other words, we perform an ANOVA (and associated posthoc Tukey test) for each hallmark as, hallmark ~ grouping. Users can specify the grouping variable.

RNA-library-merged-vs-stranded

cg_list <- metadata_with_gsva %>% pull(cg) %>% unique()
cg_list <- sort(cg_list, decreasing = FALSE)
print(cg_list)

for(x in 1:length(cg_list)){
  print(x)
  
  # Define directories for output files
  barplots_output <-
  file.path(barplots_dir, cg_list[x])
if (!dir.exists(barplots_output)) {
  dir.create(barplots_output)
}

dotplots_output <-
  file.path(dotplots_dir, cg_list[x])
if (!dir.exists(dotplots_output)) {
  dir.create(dotplots_output)
}

diverging_barplots_output <-
  file.path(diverging_barplots_dir, cg_list[x])
if (!dir.exists(diverging_barplots_output)) {
  dir.create(diverging_barplots_output)
}


# File path to results directory
results_output <-
  file.path(results_dir, cg_list[x])
if (!dir.exists(results_output)) {
  dir.create(results_output)
}

  
  
  data_df <- metadata_with_gsva %>%
    dplyr::filter(cg == cg_list[x])
  
  ######## Find out unique RNA library types
  rna_library_list <- data_df %>% pull(data_type) %>% unique()
  rna_library_list <- sort(rna_library_list, decreasing = FALSE)
  print(rna_library_list)

for(i in 1:length(rna_library_list)){
  print(i)
  
  rna_library = rna_library_list[i]
  print(rna_library)
  
  # find out the number of `tumor_descriptor` with this RNA library
  tumor_descriptor_n <- data_df %>%
    dplyr::filter(data_type == rna_library) %>%
    dplyr::pull(tumor_descriptor) %>% 
    unique() %>% length()
  
    
  # anova can only be run on factors with >=2 levels, so to avoid error, we give a if statement
  if(tumor_descriptor_n>=2){
    
    tumor_descriptor_model_results <- gsva_anova_tukey(data_df, tumor_descriptor, rna_library, SIGNIFICANCE_THRESHOLD) 
  
    ###########################################################################################
    # print results for viewing
    print(rna_library)
    print(head(tumor_descriptor_model_results))
    
    
    anova_fname <- paste0(results_output, "/", "gsva_anova_", rna_library_list[i], "_", cg_list[x], "_tumor_descriptor.tsv")
    readr::write_tsv(tumor_descriptor_model_results[["anova"]], file = anova_fname)
     
    tukey_fname <- paste0(results_output, "/", "gsva_tukey_", rna_library_list[i], "_", cg_list[x], "_tumor_descriptor.tsv")
    readr::write_tsv(tumor_descriptor_model_results[["tukey"]], file = tukey_fname)

    ################ plot results ########################################################
    ###### tukey ######################################################################
   
    td_models <- unique(as.character(tumor_descriptor_model_results[["tukey"]]$comparison))
    td_models <- sort(td_models, decreasing = FALSE)
    print(td_models)
  
    for(t in seq_along(td_models)){
      print(t)
      
      #Set seed
      set.seed(2023)
    
      # Re-order bars
      df <- tumor_descriptor_model_results[["tukey"]] %>%
        filter(comparison == td_models[t]) %>% 
        mutate(across(tukey_p_value, round, 2))
        #mutate(hallmark_name_id = paste0(hallmark_name, 1:50))

      # The significantly differentially pathways are the ones found in the upper-left and upper-right corners.
      # Add a column to the data frame to specify if they are UP- or DOWN- regulated (pathway_score_difference respectively positive or negative
      df$path_signif <- "NS"
      p_value <- df$tukey_p_value
      signif_p_value <- 0.05
      # if pathway_score_difference > 0  
      df$path_signif[df$pathway_score_difference > 0 & p_value < signif_p_value] <- "*" #"Up"
      df$path_signif[df$pathway_score_difference > 0 & p_value > signif_p_value] <- "NS"

      # if pathway_score_difference < 0 
      df$path_signif[df$pathway_score_difference < 0 & p_value < signif_p_value] <- "*" #"Down"
      df$path_signif[df$pathway_score_difference < 0 & p_value > signif_p_value] <- "NS"
      # Create labels
      # df$labels <- with(df, ifelse(p_value < 0.05, hallmark_name_id, ""))
      df$path_signif <- with(df, ifelse(!path_signif == "NS", path_signif, ""))
      df$path_signif <- with(df, ifelse(!path_signif == "*", path_signif, p_value))

      #df$hallmark_name <- factor(df$hallmark_name,
      #                           levels = rev(unique(df$hallmark_name[order(df$tukey_p_value, decreasing = TRUE)]))) # Factor levels in increasing order
      
      
      ###### diverging barplots ###########
      name <- paste0(diverging_barplots_output, "/", "gsva_tukey_", rna_library_list[i], "-", cg_list[x], "-", td_models[t], "-tumor_descriptor_diverging_barplot.pdf")
      print(name)
      p <- create_diverging_barplot(df = df,
                                    y_value = df$pathway_score_difference,
                                    rna_library = rna_library_list[i],
                                    td_model_id = td_models[t],
                                    cg = cg_list[x])
      pdf(file = name, width = 12, height = 10)
      print(p)
      dev.off()
    
    
    ###### anova ######################################################################
    ###### barplots ###########    
    name <- paste0(barplots_output, "/", "gsva_anova_", rna_library_list[i], "-", cg_list[x], "-", "tumor_descriptor_barplot.pdf")
    print(name)
  
    # Re-order bars
    df <- tumor_descriptor_model_results[["anova"]]
    df$hallmark_name <- factor(df$hallmark_name,
                               levels = rev(unique(df$hallmark_name[order(df$anova_p_value, decreasing = TRUE)]))) # Factor levels in increasing order
    p <- create_barplot(df = df,
                        y_value = df$anova_p_value,
                        title_value = "anova_p_value", 
                        rna_library = rna_library_list[i],
                        td_model_id = NULL,
                        cg = cg_list[x])
    pdf(file = name, width = 12, height = 10)
    print(p)
    dev.off()
      
    ###### dot plots ###########
    dotplot_name <- paste0(dotplots_output, "/", "gsva_anova_", rna_library_list[i], "-", cg_list[x], "-", "tumor_descriptor_dotplot.pdf")
    print(dotplot_name)
    p <- create_dotplot(df = tumor_descriptor_model_results[["anova"]],
                        x_value = tumor_descriptor_model_results[["anova"]]$hallmark_name,
                        y_value = tumor_descriptor_model_results[["anova"]]$anova_p_value,
                        title_value = "anova_p_value",
                        rna_library = rna_library_list[i],
                        td_model_id = NULL,
                        cg = cg_list[x])
    pdf(file = dotplot_name, width = 12, height = 10)
    print(p)
    dev.off()
  }
  }
}
}
cg_list <- metadata_with_gsva %>% pull(cg) %>% unique()
cg_list <- sort(cg_list, decreasing = FALSE)
print(cg_list)
[1] "ATRT"            "DMG"             "Ependymoma"      "HGG"             "LGG"             "Medulloblastoma"
for(x in 1:length(cg_list)){
  print(x)
  
  # Define directories for output files
  barplots_output <-
  file.path(barplots_dir, cg_list[x])
if (!dir.exists(barplots_output)) {
  dir.create(barplots_output)
}

dotplots_output <-
  file.path(dotplots_dir, cg_list[x])
if (!dir.exists(dotplots_output)) {
  dir.create(dotplots_output)
}

diverging_barplots_output <-
  file.path(diverging_barplots_dir, cg_list[x])
if (!dir.exists(diverging_barplots_output)) {
  dir.create(diverging_barplots_output)
}


# File path to results directory
results_output <-
  file.path(results_dir, cg_list[x])
if (!dir.exists(results_output)) {
  dir.create(results_output)
}

  
  
  data_df <- metadata_with_gsva %>%
    dplyr::filter(cg == cg_list[x])
  
  ######## Find out unique RNA library types
  rna_library_list <- data_df %>% pull(data_type) %>% unique()
  rna_library_list <- sort(rna_library_list, decreasing = FALSE)
  print(rna_library_list)

for(i in 1:length(rna_library_list)){
  print(i)
  
  rna_library = rna_library_list[i]
  print(rna_library)
  
  # find out the number of `tumor_descriptor` with this RNA library
  tumor_descriptor_n <- data_df %>%
    dplyr::filter(data_type == rna_library) %>%
    dplyr::pull(tumor_descriptor) %>% 
    unique() %>% length()
  
    
  # anova can only be run on factors with >=2 levels, so to avoid error, we give a if statement
  if(tumor_descriptor_n>=2){
    
    tumor_descriptor_model_results <- gsva_anova_tukey(data_df, tumor_descriptor, rna_library, SIGNIFICANCE_THRESHOLD) 
  
    ###########################################################################################
    # print results for viewing
    print(rna_library)
    print(head(tumor_descriptor_model_results))
    
    
    anova_fname <- paste0(results_output, "/", "gsva_anova_", rna_library_list[i], "_", cg_list[x], "_tumor_descriptor.tsv")
    readr::write_tsv(tumor_descriptor_model_results[["anova"]], file = anova_fname)
     
    tukey_fname <- paste0(results_output, "/", "gsva_tukey_", rna_library_list[i], "_", cg_list[x], "_tumor_descriptor.tsv")
    readr::write_tsv(tumor_descriptor_model_results[["tukey"]], file = tukey_fname)

    ################ plot results ########################################################
    ###### tukey ######################################################################
   
    td_models <- unique(as.character(tumor_descriptor_model_results[["tukey"]]$comparison))
    td_models <- sort(td_models, decreasing = FALSE)
    print(td_models)
  
    for(t in seq_along(td_models)){
      print(t)
      
      #Set seed
      set.seed(2023)
    
      # Re-order bars
      df <- tumor_descriptor_model_results[["tukey"]] %>%
        filter(comparison == td_models[t]) %>% 
        mutate(across(tukey_p_value, round, 2))
        #mutate(hallmark_name_id = paste0(hallmark_name, 1:50))

      # The significantly differentially pathways are the ones found in the upper-left and upper-right corners.
      # Add a column to the data frame to specify if they are UP- or DOWN- regulated (pathway_score_difference respectively positive or negative
      df$path_signif <- "NS"
      p_value <- df$tukey_p_value
      signif_p_value <- 0.05
      # if pathway_score_difference > 0  
      df$path_signif[df$pathway_score_difference > 0 & p_value < signif_p_value] <- "*" #"Up"
      df$path_signif[df$pathway_score_difference > 0 & p_value > signif_p_value] <- "NS"

      # if pathway_score_difference < 0 
      df$path_signif[df$pathway_score_difference < 0 & p_value < signif_p_value] <- "*" #"Down"
      df$path_signif[df$pathway_score_difference < 0 & p_value > signif_p_value] <- "NS"
      # Create labels
      # df$labels <- with(df, ifelse(p_value < 0.05, hallmark_name_id, ""))
      df$path_signif <- with(df, ifelse(!path_signif == "NS", path_signif, ""))
      df$path_signif <- with(df, ifelse(!path_signif == "*", path_signif, p_value))

      #df$hallmark_name <- factor(df$hallmark_name,
      #                           levels = rev(unique(df$hallmark_name[order(df$tukey_p_value, decreasing = TRUE)]))) # Factor levels in increasing order
      
      
      ###### diverging barplots ###########
      name <- paste0(diverging_barplots_output, "/", "gsva_tukey_", rna_library_list[i], "-", cg_list[x], "-", td_models[t], "-tumor_descriptor_diverging_barplot.pdf")
      print(name)
      p <- create_diverging_barplot(df = df,
                                    y_value = df$pathway_score_difference,
                                    rna_library = rna_library_list[i],
                                    td_model_id = td_models[t],
                                    cg = cg_list[x])
      pdf(file = name, width = 12, height = 10)
      print(p)
      dev.off()
    
    
    ###### anova ######################################################################
    ###### barplots ###########    
    name <- paste0(barplots_output, "/", "gsva_anova_", rna_library_list[i], "-", cg_list[x], "-", "tumor_descriptor_barplot.pdf")
    print(name)
  
    # Re-order bars
    df <- tumor_descriptor_model_results[["anova"]]
    df$hallmark_name <- factor(df$hallmark_name,
                               levels = rev(unique(df$hallmark_name[order(df$anova_p_value, decreasing = TRUE)]))) # Factor levels in increasing order
    p <- create_barplot(df = df,
                        y_value = df$anova_p_value,
                        title_value = "anova_p_value", 
                        rna_library = rna_library_list[i],
                        td_model_id = NULL,
                        cg = cg_list[x])
    pdf(file = name, width = 12, height = 10)
    print(p)
    dev.off()
      
    ###### dot plots ###########
    dotplot_name <- paste0(dotplots_output, "/", "gsva_anova_", rna_library_list[i], "-", cg_list[x], "-", "tumor_descriptor_dotplot.pdf")
    print(dotplot_name)
    p <- create_dotplot(df = tumor_descriptor_model_results[["anova"]],
                        x_value = tumor_descriptor_model_results[["anova"]]$hallmark_name,
                        y_value = tumor_descriptor_model_results[["anova"]]$anova_p_value,
                        title_value = "anova_p_value",
                        rna_library = rna_library_list[i],
                        td_model_id = NULL,
                        cg = cg_list[x])
    pdf(file = dotplot_name, width = 12, height = 10)
    print(p)
    dev.off()
  }
  }
}
}
[1] 1
[1] "merged"   "stranded"
[1] 1
[1] "merged"
[1] 50
[1] "merged"
$anova

$tukey

[1] "Deceased-Diagnosis"     "Deceased-Progressive"   "Deceased-Recurrence"    "Progressive-Diagnosis"  "Recurrence-Diagnosis"  
[6] "Recurrence-Progressive"
[1] 1
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/ATRT/gsva_tukey_merged-ATRT-Deceased-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/ATRT/gsva_anova_merged-ATRT-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/ATRT/gsva_anova_merged-ATRT-tumor_descriptor_dotplot.pdf"
[1] 2
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/ATRT/gsva_tukey_merged-ATRT-Deceased-Progressive-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/ATRT/gsva_anova_merged-ATRT-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/ATRT/gsva_anova_merged-ATRT-tumor_descriptor_dotplot.pdf"
[1] 3
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/ATRT/gsva_tukey_merged-ATRT-Deceased-Recurrence-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/ATRT/gsva_anova_merged-ATRT-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/ATRT/gsva_anova_merged-ATRT-tumor_descriptor_dotplot.pdf"
[1] 4
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/ATRT/gsva_tukey_merged-ATRT-Progressive-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/ATRT/gsva_anova_merged-ATRT-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/ATRT/gsva_anova_merged-ATRT-tumor_descriptor_dotplot.pdf"
[1] 5
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/ATRT/gsva_tukey_merged-ATRT-Recurrence-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/ATRT/gsva_anova_merged-ATRT-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/ATRT/gsva_anova_merged-ATRT-tumor_descriptor_dotplot.pdf"
[1] 6
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/ATRT/gsva_tukey_merged-ATRT-Recurrence-Progressive-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/ATRT/gsva_anova_merged-ATRT-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/ATRT/gsva_anova_merged-ATRT-tumor_descriptor_dotplot.pdf"
[1] 2
[1] "stranded"
[1] 50
[1] "stranded"
$anova

$tukey

[1] "Deceased-Diagnosis"    "Deceased-Progressive"  "Progressive-Diagnosis"
[1] 1
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/ATRT/gsva_tukey_stranded-ATRT-Deceased-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/ATRT/gsva_anova_stranded-ATRT-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/ATRT/gsva_anova_stranded-ATRT-tumor_descriptor_dotplot.pdf"
[1] 2
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/ATRT/gsva_tukey_stranded-ATRT-Deceased-Progressive-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/ATRT/gsva_anova_stranded-ATRT-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/ATRT/gsva_anova_stranded-ATRT-tumor_descriptor_dotplot.pdf"
[1] 3
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/ATRT/gsva_tukey_stranded-ATRT-Progressive-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/ATRT/gsva_anova_stranded-ATRT-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/ATRT/gsva_anova_stranded-ATRT-tumor_descriptor_dotplot.pdf"
[1] 2
[1] "merged"   "stranded"
[1] 1
[1] "merged"
[1] 50
[1] "merged"
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$tukey

[1] "Deceased-Diagnosis"    "Deceased-Progressive"  "Progressive-Diagnosis"
[1] 1
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/DMG/gsva_tukey_merged-DMG-Deceased-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/DMG/gsva_anova_merged-DMG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/DMG/gsva_anova_merged-DMG-tumor_descriptor_dotplot.pdf"
[1] 2
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/DMG/gsva_tukey_merged-DMG-Deceased-Progressive-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/DMG/gsva_anova_merged-DMG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/DMG/gsva_anova_merged-DMG-tumor_descriptor_dotplot.pdf"
[1] 3
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/DMG/gsva_tukey_merged-DMG-Progressive-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/DMG/gsva_anova_merged-DMG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/DMG/gsva_anova_merged-DMG-tumor_descriptor_dotplot.pdf"
[1] 2
[1] "stranded"
[1] 50
[1] "stranded"
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$tukey

[1] "Deceased-Diagnosis"    "Deceased-Progressive"  "Progressive-Diagnosis"
[1] 1
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/DMG/gsva_tukey_stranded-DMG-Deceased-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/DMG/gsva_anova_stranded-DMG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/DMG/gsva_anova_stranded-DMG-tumor_descriptor_dotplot.pdf"
[1] 2
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/DMG/gsva_tukey_stranded-DMG-Deceased-Progressive-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/DMG/gsva_anova_stranded-DMG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/DMG/gsva_anova_stranded-DMG-tumor_descriptor_dotplot.pdf"
[1] 3
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/DMG/gsva_tukey_stranded-DMG-Progressive-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/DMG/gsva_anova_stranded-DMG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/DMG/gsva_anova_stranded-DMG-tumor_descriptor_dotplot.pdf"
[1] 3
[1] "merged"   "stranded"
[1] 1
[1] "merged"
[1] 50
[1] "merged"
$anova

$tukey

[1] "Deceased-Diagnosis"     "Deceased-Progressive"   "Deceased-Recurrence"    "Progressive-Diagnosis"  "Recurrence-Diagnosis"  
[6] "Recurrence-Progressive"
[1] 1
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Ependymoma/gsva_tukey_merged-Ependymoma-Deceased-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Ependymoma/gsva_anova_merged-Ependymoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Ependymoma/gsva_anova_merged-Ependymoma-tumor_descriptor_dotplot.pdf"
[1] 2
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Ependymoma/gsva_tukey_merged-Ependymoma-Deceased-Progressive-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Ependymoma/gsva_anova_merged-Ependymoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Ependymoma/gsva_anova_merged-Ependymoma-tumor_descriptor_dotplot.pdf"
[1] 3
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Ependymoma/gsva_tukey_merged-Ependymoma-Deceased-Recurrence-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Ependymoma/gsva_anova_merged-Ependymoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Ependymoma/gsva_anova_merged-Ependymoma-tumor_descriptor_dotplot.pdf"
[1] 4
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Ependymoma/gsva_tukey_merged-Ependymoma-Progressive-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Ependymoma/gsva_anova_merged-Ependymoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Ependymoma/gsva_anova_merged-Ependymoma-tumor_descriptor_dotplot.pdf"
[1] 5
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Ependymoma/gsva_tukey_merged-Ependymoma-Recurrence-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Ependymoma/gsva_anova_merged-Ependymoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Ependymoma/gsva_anova_merged-Ependymoma-tumor_descriptor_dotplot.pdf"
[1] 6
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Ependymoma/gsva_tukey_merged-Ependymoma-Recurrence-Progressive-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Ependymoma/gsva_anova_merged-Ependymoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Ependymoma/gsva_anova_merged-Ependymoma-tumor_descriptor_dotplot.pdf"
[1] 2
[1] "stranded"
[1] 50
[1] "stranded"
$anova

$tukey

[1] "Deceased-Diagnosis"     "Deceased-Progressive"   "Deceased-Recurrence"    "Progressive-Diagnosis"  "Recurrence-Diagnosis"  
[6] "Recurrence-Progressive"
[1] 1
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Ependymoma/gsva_tukey_stranded-Ependymoma-Deceased-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Ependymoma/gsva_anova_stranded-Ependymoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Ependymoma/gsva_anova_stranded-Ependymoma-tumor_descriptor_dotplot.pdf"
[1] 2
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Ependymoma/gsva_tukey_stranded-Ependymoma-Deceased-Progressive-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Ependymoma/gsva_anova_stranded-Ependymoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Ependymoma/gsva_anova_stranded-Ependymoma-tumor_descriptor_dotplot.pdf"
[1] 3
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Ependymoma/gsva_tukey_stranded-Ependymoma-Deceased-Recurrence-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Ependymoma/gsva_anova_stranded-Ependymoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Ependymoma/gsva_anova_stranded-Ependymoma-tumor_descriptor_dotplot.pdf"
[1] 4
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Ependymoma/gsva_tukey_stranded-Ependymoma-Progressive-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Ependymoma/gsva_anova_stranded-Ependymoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Ependymoma/gsva_anova_stranded-Ependymoma-tumor_descriptor_dotplot.pdf"
[1] 5
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Ependymoma/gsva_tukey_stranded-Ependymoma-Recurrence-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Ependymoma/gsva_anova_stranded-Ependymoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Ependymoma/gsva_anova_stranded-Ependymoma-tumor_descriptor_dotplot.pdf"
[1] 6
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Ependymoma/gsva_tukey_stranded-Ependymoma-Recurrence-Progressive-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Ependymoma/gsva_anova_stranded-Ependymoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Ependymoma/gsva_anova_stranded-Ependymoma-tumor_descriptor_dotplot.pdf"
[1] 4
[1] "merged"   "stranded"
[1] 1
[1] "merged"
[1] 50
[1] "merged"
$anova

$tukey

 [1] "Deceased-Diagnosis"            "Deceased-Progressive"          "Deceased-Recurrence"           "Progressive-Diagnosis"        
 [5] "Recurrence-Diagnosis"          "Recurrence-Progressive"        "Second Malignancy-Deceased"    "Second Malignancy-Diagnosis"  
 [9] "Second Malignancy-Progressive" "Second Malignancy-Recurrence" 
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[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/HGG/gsva_tukey_merged-HGG-Deceased-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/HGG/gsva_anova_merged-HGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/HGG/gsva_anova_merged-HGG-tumor_descriptor_dotplot.pdf"
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[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/HGG/gsva_tukey_merged-HGG-Deceased-Progressive-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/HGG/gsva_anova_merged-HGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/HGG/gsva_anova_merged-HGG-tumor_descriptor_dotplot.pdf"
[1] 3
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/HGG/gsva_tukey_merged-HGG-Deceased-Recurrence-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/HGG/gsva_anova_merged-HGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/HGG/gsva_anova_merged-HGG-tumor_descriptor_dotplot.pdf"
[1] 4
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/HGG/gsva_tukey_merged-HGG-Progressive-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/HGG/gsva_anova_merged-HGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/HGG/gsva_anova_merged-HGG-tumor_descriptor_dotplot.pdf"
[1] 5
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/HGG/gsva_tukey_merged-HGG-Recurrence-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/HGG/gsva_anova_merged-HGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/HGG/gsva_anova_merged-HGG-tumor_descriptor_dotplot.pdf"
[1] 6
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/HGG/gsva_tukey_merged-HGG-Recurrence-Progressive-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/HGG/gsva_anova_merged-HGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/HGG/gsva_anova_merged-HGG-tumor_descriptor_dotplot.pdf"
[1] 7
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/HGG/gsva_tukey_merged-HGG-Second Malignancy-Deceased-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/HGG/gsva_anova_merged-HGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/HGG/gsva_anova_merged-HGG-tumor_descriptor_dotplot.pdf"
[1] 8
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/HGG/gsva_tukey_merged-HGG-Second Malignancy-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/HGG/gsva_anova_merged-HGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/HGG/gsva_anova_merged-HGG-tumor_descriptor_dotplot.pdf"
[1] 9
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/HGG/gsva_tukey_merged-HGG-Second Malignancy-Progressive-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/HGG/gsva_anova_merged-HGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/HGG/gsva_anova_merged-HGG-tumor_descriptor_dotplot.pdf"
[1] 10
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/HGG/gsva_tukey_merged-HGG-Second Malignancy-Recurrence-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/HGG/gsva_anova_merged-HGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/HGG/gsva_anova_merged-HGG-tumor_descriptor_dotplot.pdf"
[1] 2
[1] "stranded"
[1] 50
[1] "stranded"
$anova

$tukey

[1] "Deceased-Diagnosis"     "Deceased-Progressive"   "Deceased-Recurrence"    "Progressive-Diagnosis"  "Recurrence-Diagnosis"  
[6] "Recurrence-Progressive"
[1] 1
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/HGG/gsva_tukey_stranded-HGG-Deceased-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/HGG/gsva_anova_stranded-HGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/HGG/gsva_anova_stranded-HGG-tumor_descriptor_dotplot.pdf"
[1] 2
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/HGG/gsva_tukey_stranded-HGG-Deceased-Progressive-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/HGG/gsva_anova_stranded-HGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/HGG/gsva_anova_stranded-HGG-tumor_descriptor_dotplot.pdf"
[1] 3
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/HGG/gsva_tukey_stranded-HGG-Deceased-Recurrence-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/HGG/gsva_anova_stranded-HGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/HGG/gsva_anova_stranded-HGG-tumor_descriptor_dotplot.pdf"
[1] 4
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/HGG/gsva_tukey_stranded-HGG-Progressive-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/HGG/gsva_anova_stranded-HGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/HGG/gsva_anova_stranded-HGG-tumor_descriptor_dotplot.pdf"
[1] 5
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/HGG/gsva_tukey_stranded-HGG-Recurrence-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/HGG/gsva_anova_stranded-HGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/HGG/gsva_anova_stranded-HGG-tumor_descriptor_dotplot.pdf"
[1] 6
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/HGG/gsva_tukey_stranded-HGG-Recurrence-Progressive-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/HGG/gsva_anova_stranded-HGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/HGG/gsva_anova_stranded-HGG-tumor_descriptor_dotplot.pdf"
[1] 5
[1] "merged"   "stranded"
[1] 1
[1] "merged"
[1] 50
[1] "merged"
$anova

$tukey

[1] "Progressive-Diagnosis"  "Recurrence-Diagnosis"   "Recurrence-Progressive"
[1] 1
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/LGG/gsva_tukey_merged-LGG-Progressive-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/LGG/gsva_anova_merged-LGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/LGG/gsva_anova_merged-LGG-tumor_descriptor_dotplot.pdf"
[1] 2
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/LGG/gsva_tukey_merged-LGG-Recurrence-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/LGG/gsva_anova_merged-LGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/LGG/gsva_anova_merged-LGG-tumor_descriptor_dotplot.pdf"
[1] 3
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/LGG/gsva_tukey_merged-LGG-Recurrence-Progressive-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/LGG/gsva_anova_merged-LGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/LGG/gsva_anova_merged-LGG-tumor_descriptor_dotplot.pdf"
[1] 2
[1] "stranded"
[1] 50
[1] "stranded"
$anova

$tukey

[1] "Progressive-Diagnosis"         "Recurrence-Diagnosis"          "Recurrence-Progressive"        "Second Malignancy-Diagnosis"  
[5] "Second Malignancy-Progressive" "Second Malignancy-Recurrence" 
[1] 1
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/LGG/gsva_tukey_stranded-LGG-Progressive-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/LGG/gsva_anova_stranded-LGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/LGG/gsva_anova_stranded-LGG-tumor_descriptor_dotplot.pdf"
[1] 2
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/LGG/gsva_tukey_stranded-LGG-Recurrence-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/LGG/gsva_anova_stranded-LGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/LGG/gsva_anova_stranded-LGG-tumor_descriptor_dotplot.pdf"
[1] 3
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/LGG/gsva_tukey_stranded-LGG-Recurrence-Progressive-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/LGG/gsva_anova_stranded-LGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/LGG/gsva_anova_stranded-LGG-tumor_descriptor_dotplot.pdf"
[1] 4
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/LGG/gsva_tukey_stranded-LGG-Second Malignancy-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/LGG/gsva_anova_stranded-LGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/LGG/gsva_anova_stranded-LGG-tumor_descriptor_dotplot.pdf"
[1] 5
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/LGG/gsva_tukey_stranded-LGG-Second Malignancy-Progressive-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/LGG/gsva_anova_stranded-LGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/LGG/gsva_anova_stranded-LGG-tumor_descriptor_dotplot.pdf"
[1] 6
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/LGG/gsva_tukey_stranded-LGG-Second Malignancy-Recurrence-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/LGG/gsva_anova_stranded-LGG-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/LGG/gsva_anova_stranded-LGG-tumor_descriptor_dotplot.pdf"
[1] 6
[1] "merged"   "stranded"
[1] 1
[1] "merged"
[1] 50
[1] "merged"
$anova

$tukey

[1] "Deceased-Diagnosis"     "Deceased-Progressive"   "Deceased-Recurrence"    "Progressive-Diagnosis"  "Recurrence-Diagnosis"  
[6] "Recurrence-Progressive"
[1] 1
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Medulloblastoma/gsva_tukey_merged-Medulloblastoma-Deceased-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Medulloblastoma/gsva_anova_merged-Medulloblastoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Medulloblastoma/gsva_anova_merged-Medulloblastoma-tumor_descriptor_dotplot.pdf"
[1] 2
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Medulloblastoma/gsva_tukey_merged-Medulloblastoma-Deceased-Progressive-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Medulloblastoma/gsva_anova_merged-Medulloblastoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Medulloblastoma/gsva_anova_merged-Medulloblastoma-tumor_descriptor_dotplot.pdf"
[1] 3
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Medulloblastoma/gsva_tukey_merged-Medulloblastoma-Deceased-Recurrence-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Medulloblastoma/gsva_anova_merged-Medulloblastoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Medulloblastoma/gsva_anova_merged-Medulloblastoma-tumor_descriptor_dotplot.pdf"
[1] 4
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Medulloblastoma/gsva_tukey_merged-Medulloblastoma-Progressive-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Medulloblastoma/gsva_anova_merged-Medulloblastoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Medulloblastoma/gsva_anova_merged-Medulloblastoma-tumor_descriptor_dotplot.pdf"
[1] 5
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Medulloblastoma/gsva_tukey_merged-Medulloblastoma-Recurrence-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Medulloblastoma/gsva_anova_merged-Medulloblastoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Medulloblastoma/gsva_anova_merged-Medulloblastoma-tumor_descriptor_dotplot.pdf"
[1] 6
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Medulloblastoma/gsva_tukey_merged-Medulloblastoma-Recurrence-Progressive-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Medulloblastoma/gsva_anova_merged-Medulloblastoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Medulloblastoma/gsva_anova_merged-Medulloblastoma-tumor_descriptor_dotplot.pdf"
[1] 2
[1] "stranded"
[1] 50
[1] "stranded"
$anova

$tukey

[1] "Deceased-Diagnosis"            "Deceased-Progressive"          "Progressive-Diagnosis"         "Second Malignancy-Deceased"   
[5] "Second Malignancy-Diagnosis"   "Second Malignancy-Progressive"
[1] 1
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Medulloblastoma/gsva_tukey_stranded-Medulloblastoma-Deceased-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Medulloblastoma/gsva_anova_stranded-Medulloblastoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Medulloblastoma/gsva_anova_stranded-Medulloblastoma-tumor_descriptor_dotplot.pdf"
[1] 2
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Medulloblastoma/gsva_tukey_stranded-Medulloblastoma-Deceased-Progressive-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Medulloblastoma/gsva_anova_stranded-Medulloblastoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Medulloblastoma/gsva_anova_stranded-Medulloblastoma-tumor_descriptor_dotplot.pdf"
[1] 3
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Medulloblastoma/gsva_tukey_stranded-Medulloblastoma-Progressive-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Medulloblastoma/gsva_anova_stranded-Medulloblastoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Medulloblastoma/gsva_anova_stranded-Medulloblastoma-tumor_descriptor_dotplot.pdf"
[1] 4
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Medulloblastoma/gsva_tukey_stranded-Medulloblastoma-Second Malignancy-Deceased-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Medulloblastoma/gsva_anova_stranded-Medulloblastoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Medulloblastoma/gsva_anova_stranded-Medulloblastoma-tumor_descriptor_dotplot.pdf"
[1] 5
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Medulloblastoma/gsva_tukey_stranded-Medulloblastoma-Second Malignancy-Diagnosis-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Medulloblastoma/gsva_anova_stranded-Medulloblastoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Medulloblastoma/gsva_anova_stranded-Medulloblastoma-tumor_descriptor_dotplot.pdf"
[1] 6
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/diverging_barplots/Medulloblastoma/gsva_tukey_stranded-Medulloblastoma-Second Malignancy-Progressive-tumor_descriptor_diverging_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/barplots/Medulloblastoma/gsva_anova_stranded-Medulloblastoma-tumor_descriptor_barplot.pdf"
[1] "/Users/chronia/CHOP/GitHub/pbta-tumor-evolution/analyses/gene-set-enrichment-analysis/plots/paired-transcriptomic/dotplots/Medulloblastoma/gsva_anova_stranded-Medulloblastoma-tumor_descriptor_dotplot.pdf"

---
title: "GSVA Score Modeling"
author: "Antonia Chroni <chronia@chop.edu> for D3B"
date: "2023"
output:
  html_notebook:
    toc: TRUE
    toc_float: TRUE
---

### Purpose

The purpose of this analysis is to assess significant differences in GSVA scores for each hallmark pathways. Using ANOVA and subsequent Tukey tests, we ask:

+ For each pathway, are GSVA scores significantly different across `tumor_descriptor`? If so, which timepoints are significantly different?

We perform this using both GSVA scores calculated from RNA-seq libraries. Code is also flexible enough to test a different variable besides `tumor_descriptor`, etc.


Plots are inspired from here: https://yulab-smu.top/biomedical-knowledge-mining-book/enrichplot.html

### Usage

To run this from the command line, use:
```
Rscript -e "rmarkdown::render('01-model-gsea-transcriptomic-pairs.Rmd', clean = TRUE)" 
```
_This assumes you are in the top directory of the repository._

# Setup

Load libraries and define certain constants:

```{r load-library}
suppressPackageStartupMessages({
  library(tidyverse)
  library(broom)
  library(ggpubr)
  library(ggrepel)
  
  #if (!require("BiocManager", quietly = TRUE))
  #  install.packages("BiocManager")

  #BiocManager::install("ComplexHeatmap")

  library(ComplexHeatmap)

})
```


## Directories and File Inputs/Outputs

```{r set-dir-and-file-names}
# Detect the ".git" folder. This will be in the project root directory.
# Use this as the root directory to ensure proper sourcing of functions
# no matter where this is called from.
root_dir <- rprojroot::find_root(rprojroot::has_dir(".git"))
analysis_dir <- file.path(root_dir, "analyses", "gene-set-enrichment-analysis") 
input_dir <- file.path(analysis_dir, "input")
files_dir <- file.path(root_dir, "analyses", "sample-distribution-analysis", "results")

# Input files
## Metadata file (histologies/clinical data)
metadata_file <- file.path(files_dir, "pbta.tsv") # file from add-sample-distribution module
matched_transcriptomic_file <- file.path(files_dir, "transcriptomic_assays_matched_time_points.tsv") # file from add-sample-distribution module

## GSEA scores
scores_file <- file.path(input_dir, "gsva_scores.tsv")

# File path to plots directory
plots_dir <-
  file.path(analysis_dir, "plots", "paired-transcriptomic")
if (!dir.exists(plots_dir)) {
  dir.create(plots_dir)
}

barplots_dir <-
  file.path(plots_dir, "barplots")
if (!dir.exists(barplots_dir)) {
  dir.create(barplots_dir)
}

dotplots_dir <-
  file.path(plots_dir, "dotplots")
if (!dir.exists(dotplots_dir)) {
  dir.create(dotplots_dir)
}

diverging_barplots_dir <-
  file.path(plots_dir, "diverging_barplots")
if (!dir.exists(diverging_barplots_dir)) {
  dir.create(diverging_barplots_dir)
}


# File path to results directory
results_dir <-
  file.path(analysis_dir, "results", "paired-transcriptomic")
if (!dir.exists(results_dir)) {
  dir.create(results_dir)
}


# Significance testing universal threshold
SIGNIFICANCE_THRESHOLD <- 0.01

# This script contains functions used to modeling GSVA scores
source(paste0(analysis_dir, "/util/hallmark_models.R"))
source(paste0(analysis_dir, "/util/function-create-plots.R"))
source(paste0(root_dir, "/figures/scripts/theme.R"))
```

## Read in data and process

```{r read-input-files}
######## Load input files
pbta <- readr::read_tsv(metadata_file, guess_max = 100000) %>% 
  filter(experimental_strategy == "RNA-Seq") %>% 
  filter(!is.na(RNA_library))

# Read in matched_transcriptomic_file and get the list of patients 
# with matched time points for the transcriptomic assays
patient_list <- readr::read_tsv(matched_transcriptomic_file, guess_max = 100000, show_col_types = FALSE) %>%
  subset(select = c("Kids_First_Participant_ID", "descriptors"))

#patient_list <- readr::read_tsv(matched_transcriptomic_file, guess_max = 100000, show_col_types = FALSE) %>%
#  subset(select = c("Kids_First_Participant_ID", "descriptors"))

# How many patients with paired assays?
print(length(unique(patient_list$Kids_First_Participant_ID)))

# Add metadata from pbta to patient list
metadata <- patient_list %>% 
  left_join(pbta, by = "Kids_First_Participant_ID")

print(table(metadata$RNA_library))


# Read scores file
scores_file <- readr::read_tsv(scores_file) 

# Vector to order timepoints
timepoints <- c("Diagnosis", "Progressive", "Recurrence", "Deceased", "Second Malignancy", "Unavailable")

### Merge histology metadata with each set of gsea scores
metadata_with_gsva <- metadata %>%
  inner_join(scores_file, by = "Kids_First_Biospecimen_ID", relationship = "many-to-many") %>% 
  mutate(data_type = case_when(grepl("exome_capture|poly-A|poly-A stranded", RNA_library) ~ "merged", 
                                     TRUE ~ RNA_library),
         # Create `cg` column to account for samples with the most biospecimens and transcripts data in there
         # We will use the `cg_id` column that already accounts for cases with multiple diagnoses
         # and indicates the diagnosis at the first diagnostic specimen
         cg = case_when(grepl("High-grade glioma", cg_id) ~ "HGG", 
                            grepl("Diffuse midline glioma", cg_id) ~ "DMG",
                            grepl("Atypical Teratoid Rhabdoid Tumor", cg_id) ~ "ATRT",
                            grepl("Low-grade glioma", cg_id) ~ "LGG",
                            grepl("Ependymoma", cg_id) ~ "Ependymoma",
                            grepl("Medulloblastoma", cg_id) ~ "Medulloblastoma",
                            TRUE ~ "Other"),
        # bs_rna_library_id = paste(Kids_First_Biospecimen_ID, RNA_library_sum, sep = "_"),
         tumor_descriptor = factor(tumor_descriptor),
         tumor_descriptor = fct_relevel(tumor_descriptor, timepoints)) %>% 
  filter(!cg == "Other") %>% 
  arrange(tumor_descriptor)

# How many patients with paired assays?
print(length(unique(metadata_with_gsva$Kids_First_Participant_ID)))

# How many patients with paired assays per cancer type?
cg_unique <- metadata_with_gsva %>% 
  group_by(Kids_First_Participant_ID, cg) %>%
  select(Kids_First_Participant_ID, cg) %>% 
  distinct(Kids_First_Participant_ID, .keep_all = TRUE)

print(table(cg_unique$cg))

# How many biospecimens per `RNA_library`?
bs_unique <- metadata_with_gsva %>%
  group_by(Kids_First_Biospecimen_ID, data_type) %>%
  select(Kids_First_Biospecimen_ID, data_type) %>% 
  distinct(Kids_First_Biospecimen_ID, .keep_all = TRUE)

print(table(bs_unique$data_type))
print(table(metadata_with_gsva$data_type))

```

### ANOVA and Tukey analysis of GSVA scores

Here we perform a series of ANOVAs, for polyA and stranded libraries separately, to determine whether mean GSVA scores for a given grouping are significantly different across hallmarks (pathways). The given groupings examined here are `cancer_group` and `tumor_descriptor`. 
In other words, we perform an ANOVA (and associated posthoc Tukey test) for each hallmark as, `hallmark ~ grouping`. Users can specify the grouping variable.


# RNA-library-merged-vs-stranded

```{r, aov-perform-plot-RNA-library-merged-vs-stranded, fig.width = 12, fig.height = 10, fig.fullwidth = TRUE, echo = TRUE}
cg_list <- metadata_with_gsva %>% pull(cg) %>% unique()
cg_list <- sort(cg_list, decreasing = FALSE)
print(cg_list)

for(x in 1:length(cg_list)){
  print(x)
  
  # Define directories for output files
  barplots_output <-
  file.path(barplots_dir, cg_list[x])
if (!dir.exists(barplots_output)) {
  dir.create(barplots_output)
}

dotplots_output <-
  file.path(dotplots_dir, cg_list[x])
if (!dir.exists(dotplots_output)) {
  dir.create(dotplots_output)
}

diverging_barplots_output <-
  file.path(diverging_barplots_dir, cg_list[x])
if (!dir.exists(diverging_barplots_output)) {
  dir.create(diverging_barplots_output)
}


# File path to results directory
results_output <-
  file.path(results_dir, cg_list[x])
if (!dir.exists(results_output)) {
  dir.create(results_output)
}

  
  
  data_df <- metadata_with_gsva %>%
    dplyr::filter(cg == cg_list[x])
  
  ######## Find out unique RNA library types
  rna_library_list <- data_df %>% pull(data_type) %>% unique()
  rna_library_list <- sort(rna_library_list, decreasing = FALSE)
  print(rna_library_list)

for(i in 1:length(rna_library_list)){
  print(i)
  
  rna_library = rna_library_list[i]
  print(rna_library)
  
  # find out the number of `tumor_descriptor` with this RNA library
  tumor_descriptor_n <- data_df %>%
    dplyr::filter(data_type == rna_library) %>%
    dplyr::pull(tumor_descriptor) %>% 
    unique() %>% length()
  
    
  # anova can only be run on factors with >=2 levels, so to avoid error, we give a if statement
  if(tumor_descriptor_n>=2){
    
    tumor_descriptor_model_results <- gsva_anova_tukey(data_df, tumor_descriptor, rna_library, SIGNIFICANCE_THRESHOLD) 
  
    ###########################################################################################
    # print results for viewing
    print(rna_library)
    print(head(tumor_descriptor_model_results))
    
    
    anova_fname <- paste0(results_output, "/", "gsva_anova_", rna_library_list[i], "_", cg_list[x], "_tumor_descriptor.tsv")
    readr::write_tsv(tumor_descriptor_model_results[["anova"]], file = anova_fname)
     
    tukey_fname <- paste0(results_output, "/", "gsva_tukey_", rna_library_list[i], "_", cg_list[x], "_tumor_descriptor.tsv")
    readr::write_tsv(tumor_descriptor_model_results[["tukey"]], file = tukey_fname)

    ################ plot results ########################################################
    ###### tukey ######################################################################
   
    td_models <- unique(as.character(tumor_descriptor_model_results[["tukey"]]$comparison))
    td_models <- sort(td_models, decreasing = FALSE)
    print(td_models)
  
    for(t in seq_along(td_models)){
      print(t)
      
      #Set seed
      set.seed(2023)
    
      # Re-order bars
      df <- tumor_descriptor_model_results[["tukey"]] %>%
        filter(comparison == td_models[t]) %>% 
        mutate(across(tukey_p_value, round, 2))
        #mutate(hallmark_name_id = paste0(hallmark_name, 1:50))

      # The significantly differentially pathways are the ones found in the upper-left and upper-right corners.
      # Add a column to the data frame to specify if they are UP- or DOWN- regulated (pathway_score_difference respectively positive or negative
      df$path_signif <- "NS"
      p_value <- df$tukey_p_value
      signif_p_value <- 0.05
      # if pathway_score_difference > 0  
      df$path_signif[df$pathway_score_difference > 0 & p_value < signif_p_value] <- "*" #"Up"
      df$path_signif[df$pathway_score_difference > 0 & p_value > signif_p_value] <- "NS"

      # if pathway_score_difference < 0 
      df$path_signif[df$pathway_score_difference < 0 & p_value < signif_p_value] <- "*" #"Down"
      df$path_signif[df$pathway_score_difference < 0 & p_value > signif_p_value] <- "NS"
      # Create labels
      # df$labels <- with(df, ifelse(p_value < 0.05, hallmark_name_id, ""))
      df$path_signif <- with(df, ifelse(!path_signif == "NS", path_signif, ""))
      df$path_signif <- with(df, ifelse(!path_signif == "*", path_signif, p_value))

      #df$hallmark_name <- factor(df$hallmark_name,
      #                           levels = rev(unique(df$hallmark_name[order(df$tukey_p_value, decreasing = TRUE)]))) # Factor levels in increasing order
      
      
      ###### diverging barplots ###########
      name <- paste0(diverging_barplots_output, "/", "gsva_tukey_", rna_library_list[i], "-", cg_list[x], "-", td_models[t], "-tumor_descriptor_diverging_barplot.pdf")
      print(name)
      p <- create_diverging_barplot(df = df,
                                    y_value = df$pathway_score_difference,
                                    rna_library = rna_library_list[i],
                                    td_model_id = td_models[t],
                                    cg = cg_list[x])
      pdf(file = name, width = 12, height = 10)
      print(p)
      dev.off()
    
    
    ###### anova ######################################################################
    ###### barplots ###########    
    name <- paste0(barplots_output, "/", "gsva_anova_", rna_library_list[i], "-", cg_list[x], "-", "tumor_descriptor_barplot.pdf")
    print(name)
  
    # Re-order bars
    df <- tumor_descriptor_model_results[["anova"]]
    df$hallmark_name <- factor(df$hallmark_name,
                               levels = rev(unique(df$hallmark_name[order(df$anova_p_value, decreasing = TRUE)]))) # Factor levels in increasing order
    p <- create_barplot(df = df,
                        y_value = df$anova_p_value,
                        title_value = "anova_p_value", 
                        rna_library = rna_library_list[i],
                        td_model_id = NULL,
                        cg = cg_list[x])
    pdf(file = name, width = 12, height = 10)
    print(p)
    dev.off()
      
    ###### dot plots ###########
    dotplot_name <- paste0(dotplots_output, "/", "gsva_anova_", rna_library_list[i], "-", cg_list[x], "-", "tumor_descriptor_dotplot.pdf")
    print(dotplot_name)
    p <- create_dotplot(df = tumor_descriptor_model_results[["anova"]],
                        x_value = tumor_descriptor_model_results[["anova"]]$hallmark_name,
                        y_value = tumor_descriptor_model_results[["anova"]]$anova_p_value,
                        title_value = "anova_p_value",
                        rna_library = rna_library_list[i],
                        td_model_id = NULL,
                        cg = cg_list[x])
    pdf(file = dotplot_name, width = 12, height = 10)
    print(p)
    dev.off()
  }
  }
}
}
```





```{r}
sessionInfo()
```

